Unverified50% confidenceFactExact time
智能体-环境交互模型由Richard Sutton和Andrew Barto在1990年代的经典教材中系统化
1
Sources
50%
Confidence
Long-term
Relevance
7/24/2026
First Seen
Sources
GPT-5.6 Released: How Multi-Agent Workflows Are Ending the Chat Box Era
bilibili吃人的代码7/11/2026
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UnverifiedRichard Sutton and Andrew Barto systematically formalized the RL theoretical framework in their 1998 book Reinforcement Learning: An Introduction70% similarUnverified强化学习的理论根源可追溯至20世纪80年代Sutton与Barto的开创性工作64% similarUnverified复杂适应系统(CAS)理论框架由圣塔菲研究所的John Holland等学者在20世纪90年代系统化提出62% similarVerifiedSutton and Barto published Reinforcement Learning: An Introduction in 198859% similarUnverifiedRichard Sutton在1990年提出的Dyna架构首次将基于模型的规划与无模型学习统一58% similar
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